Nonlinear principal component analysis of noisy data.
William W. HsiehPublished in: Neural Networks (2007)
Keyphrases
- noisy data
- principal component analysis
- linear filters
- kernel pca
- kernel principal component analysis
- missing data
- high dimensional
- dimensionality reduction
- noise tolerant
- face recognition
- intrinsic dimensionality
- noise free
- principal components
- independent component analysis
- high dimensionality
- dimension reduction
- missing values
- linear discriminant analysis
- covariance matrix
- feature space
- learning from noisy data
- singular value decomposition
- discriminant analysis
- low dimensional
- support vector machine
- training data
- data sets
- face images
- feature extraction
- data mining
- positive data
- neural network